6533b874fe1ef96bd12d5fcf
RESEARCH PRODUCT
Fuzzy Discrete Event Simulation for Fuzzy Production Systems Analysis
S. Noto La DiegaG. PerroneoA. Zinnosubject
Fuzzy electronicsFuzzy transportationNeuro-fuzzyStochastic modellingComputer scienceFuzzy set operationsFuzzy associative matrixControl engineeringFuzzy control systemDiscrete event simulationFuzzy logicDefuzzificationdescription
Abstract Fuzzy production systems are characterised by vagueness in data and requirements that very often cannot be reduced to stochastic models. Therefore, such production systems cannot be analysed by using classical techniques such as Queue Theory or Discrete Simulation Analysis. On the other hand the great diffusion of Fuzzy Production environments in small and medium enterprises claims for the development of new analysis tools. This paper proposes a new approach to Discrete Event Simulation able to treat with fuzzy variables. A new methodology has been proposed to process fuzzy information within discrete event simulation and a prototype of a Fuzzy Discrete Event Simulator has been developed and tested in front of classical simulation packages.
year | journal | country | edition | language |
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1998-06-01 | IFAC Proceedings Volumes |